Effect of Growth Regulators on Rooting of Carnation (<i>Dianthus caryophyllus</i>) Tissue Culture Seedlings
Bibliographic record
Abstract
In order to understand the effects of different growth regulators and their concentrations on the rooting culture of carnation tissue culture seedlings, the optimal growth regulators and their concentrations were explored by adding different concentrations of IAA and IBA to the basic culture medium for tissue culture experiments and observing the rooting and growth of carnation tissue culture seedlings. The results showed that the sterilization effect of 10% sodium hypochlorite for 4 min was the best; the root length and number of roots in MS medium were significantly higher than that in 1/2 MS and 2 MS medium, and the roots were faster, the rooting rate was high, and the plant growth was good; IAA and IBA of 1.0 mg/L were all conducive to the root elongation, and significantly increased the number of roots, the rest of the concentration promoting effect was not significant, and the high concentration would inhibit the root growth. The growth of the plants treated with IBA was better, and the best was 1.0 mg/L IBA, which was most conducive to the rooting culture of carnation. The above results provide further theoretical basis for in vitro rapid propagation and industrial production of carnation cut flowers.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".